Page 208 - ΝΑΥΤΙΚΑ ΧΡΟΝΙΚΑ - ΜΑΙΟΣ 2024
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FLEET OPTIMISATION
How can shipping capitalise on AI? Are there any specific applications par-
ticularly relevant to fleet optimisation?
Undoubtedly, Artificial Intelligence and machine learning techniques
have been widely used in other industries for many years but have
only recently been introduced to shipping.
AI can revolutionise fleet optimisation through predictive analytics,
automated decision-making, and enhancing operational efficiency.
Specific applications include, among others, predictive maintenance,
route optimisation, and automated energy efficiency management.
Focusing on the How efficient and safe is the interoperability of the new digital platforms for
human element is monitoring ship performance, ensuring compliance, and facilitating report-
imperative; companies ing?
must provide training AI models and techniques are like a black box. Output information is
on the use of highly dependent on input data and information quality and reliability.
new technologies The interoperability of new digital platforms for monitoring ship
and optimisation performance is critical for ensuring compliance, facilitating report-
strategies to both ing, and enhancing safety. Therefore, ensuring these platforms are
crew and shore-based robust, secure, and user-friendly is paramount for their efficiency
personnel. and effectiveness.
What, in your view, is the future of connectivity and telecommunications in
the shipping industry?
The future likely holds enhanced satellite connectivity, enabling
real-time data exchange between ships and shore-based operations,
improved crew welfare through better internet access, and the inte-
gration of IoT devices. The latter will facilitate comprehensive mon-
itoring and the management of ship operations and maintenance.
Our company is proactively staying on top of the latest connectivity
and telecom technologies.
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